# Handwritten Recognition Using SVM, KNN and Neural Network

arXiv: https://arxiv.org/abs/1702.00723 · HTML: https://mlsanity.com/paper/1702.00723/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Feb 2017.

## Built on by (most cited first, 2 of 2)

- [Convolutional Neural Network with Pruning Method for Handwritten Digit Recognition](https://mlsanity.com/paper/2101.05996/) (2021)
- [Handwritten Digit Recognition using Machine and Deep Learning Algorithms](https://mlsanity.com/paper/2106.12614/) (2021)

## Abstract (arXiv)

Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touch-screens and other devices. In this paper we will using three (3) classification t o re cognize the handwritten which is SVM, KNN and Neural Network.